Three ways to combat the risk of forced labor in supply chains
Research shows that forced labor touches every supply chain. But there are some practical steps you can take to reduce the chances of it infiltrating yours.
Kilian Moote is the project director for KnowTheChain, a Humanity United project dedicated to helping businesses and investors understand and address labor abuses within their supply chains.
With more than 20 million victims of forced labor around the world, it's likely that no company's or industry's supply chain is protected from this heinous crime.
The International Labour Organization, a specialized agency of the United Nations, defines forced labor as situations in which persons are coerced to work through the use of violence or intimidation. Forced labor taints every company's supply chain and has been documented in production stages as diverse as the manufacturing of electronics, the extraction of gold, the catching of seafood, the production of apparel, and the harvesting of palm oil. Furthermore, 71 percent of companies believe there is a likelihood that forced labor could occur in their supply chain, according to a recent survey by the Ethical Trading Initiative, an alliance of companies, trade unions, and nongovernmental organizations (NGOs) that promotes respect for workers' rights around the globe.
It is crucial that procurement departments understand how their decisions are connected to forced labor. The procurement department is the part of the business most likely to come into contact with forced labor. Additionally, the increased awareness of forced labor has led to more regulations requiring purchasing departments to work proactively to ensure they're taking adequate steps to address and prevent this problem.
What can a company do to ensure its procurement department can successfully mitigate the risk presented by forced labor? While there is no "silver bullet" solution that will completely protect companies, there are some practical steps they can take.
1. Address practices that drive risk
There are certain practices that contribute to a company's risk of forced labor. For example, failing to evaluate a supplier's capacity to fulfill a purchase order before awarding the contract may lead to unauthorized outsourcing. Outsourcing decreases the potential for oversight and creates an environment in which unauthorized sub-suppliers can engage in abusive practices.
Additionally, feeding widely fluctuating demand signals to suppliers also increases the risk of forced labor. As suppliers rush to meet unpredictable demands, they may turn to unscrupulous labor brokers to bring in bonded laborers, who are required to work around the clock without pay. When a company's procurement department can instead provide accurate forecasts to its suppliers, it can help them prepare for increased demands while ensuring that they have the capacity to fulfill the order. According to KnowTheChain's benchmark report on the information and communications technology (ICT) industry, Ericsson, for example, strives to provide medium to long-term forecasts to its suppliers to allow for long-term planning and an even workload.
2: Build strong tracing efforts
A skilled procurement officer knows that it is important to understand where specific inputs and commodities are coming from. Supply chain tracing efforts can not only reduce forced labor risks but also help increase the general knowledge of the supply chain. KnowTheChain's newest benchmark report on food and beverage companies shows that more and more companies are implementing processes to trace elements of their supply chains.
This is particularly important for companies in the food and beverage sector, which are often sourcing a diverse set of commodities produced in higher-risk countries. The U.S. Department of Labor's annual list of goods produced with forced and child labor identified 19 different food commodities with documented instances of forced labor.
In short, you cannot manage what you don't see. For many procurement officers, tracing inputs and commodities is a prerequisite for taking action to address forced-labor issues or reduce risk.
3. Collaborate with competitors
It is rare for a company to collaborate with its competitors, especially when it comes to its supply chain. However, addressing forced labor is a shared challenge. In fact, addressing the deep-rooted risks, which are often happening beyond the first tier of suppliers, requires engagement with a company's industry peers.
Companies that work together through industry associations or other collective dialogues recognize that they all benefit from a supplier and sourcing network that rewards responsible practices and prohibits forced labor. Cohesion is imperative when creating common industry standards or sharing audits on suppliers, which can strengthen an industry's practices and protect the workers that all companies depend on. The Electronic Industry Citizenship Coalition (EICC) for information and communications technologies (ICT) companies, Fair Labor Association (FLA) for garment manufacturers, and Consumer Goods Forum for consumer packaged goods companies are all examples of industry groups working to engage competitors on some of the collective supply chain challenges they face. These types of groups provide an opportunity for industry peers to engage in conversations about shared risks, such as the exposure they all may have to a certain commodity. The discussions, commonly known as pre-competitive forums, can allow for the sharing of effective strategies and best practices that do not compromise their individual businesses' positions.
In a globalized world, purchasing and supplier relationships have become a key differentiator. Yet, no global company with thousands of suppliers and multiple stages of production has complete visibility into its supply chain; such opacity creates forced-labor risks for all companies. Engaging the purchasing department and determining how best to strengthen procurement decisions and practices is a necessary starting point for companies looking to meaningfully address and prevent these risks.
The launch is based on “Amazon Nova,” the company’s new generation of foundation models, the company said in a blog post. Data scientists use foundation models (FMs) to develop machine learning (ML) platforms more quickly than starting from scratch, allowing them to create artificial intelligence applications capable of performing a wide variety of general tasks, since they were trained on a broad spectrum of generalized data, Amazon says.
The new models are integrated with Amazon Bedrock, a managed service that makes FMs from AI companies and Amazon available for use through a single API. Using Amazon Bedrock, customers can experiment with and evaluate Amazon Nova models, as well as other FMs, to determine the best model for an application.
Calling the launch “the next step in our AI journey,” the company says Amazon Nova has the ability to process text, image, and video as prompts, so customers can use Amazon Nova-powered generative AI applications to understand videos, charts, and documents, or to generate videos and other multimedia content.
“Inside Amazon, we have about 1,000 Gen AI applications in motion, and we’ve had a bird’s-eye view of what application builders are still grappling with,” Rohit Prasad, SVP of Amazon Artificial General Intelligence, said in a release. “Our new Amazon Nova models are intended to help with these challenges for internal and external builders, and provide compelling intelligence and content generation while also delivering meaningful progress on latency, cost-effectiveness, customization, information grounding, and agentic capabilities.”
The new Amazon Nova models available in Amazon Bedrock include:
Amazon Nova Micro, a text-only model that delivers the lowest latency responses at very low cost.
Amazon Nova Lite, a very low-cost multimodal model that is lightning fast for processing image, video, and text inputs.
Amazon Nova Pro, a highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks.
Amazon Nova Premier, the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models
Amazon Nova Canvas, a state-of-the-art image generation model.
Amazon Nova Reel, a state-of-the-art video generation model that can transform a single image input into a brief video with the prompt: dolly forward.
Economic activity in the logistics industry expanded in November, continuing a steady growth pattern that began earlier this year and signaling a return to seasonality after several years of fluctuating conditions, according to the latest Logistics Managers’ Index report (LMI), released today.
The November LMI registered 58.4, down slightly from October’s reading of 58.9, which was the highest level in two years. The LMI is a monthly gauge of business conditions across warehousing and logistics markets; a reading above 50 indicates growth and a reading below 50 indicates contraction.
“The overall index has been very consistent in the past three months, with readings of 58.6, 58.9, and 58.4,” LMI analyst Zac Rogers, associate professor of supply chain management at Colorado State University, wrote in the November LMI report. “This plateau is slightly higher than a similar plateau of consistency earlier in the year when May to August saw four readings between 55.3 and 56.4. Seasonally speaking, it is consistent that this later year run of readings would be the highest all year.”
Separately, Rogers said the end-of-year growth reflects the return to a healthy holiday peak, which started when inventory levels expanded in late summer and early fall as retailers began stocking up to meet consumer demand. Pandemic-driven shifts in consumer buying behavior, inflation, and economic uncertainty contributed to volatile peak season conditions over the past four years, with the LMI swinging from record-high growth in late 2020 and 2021 to slower growth in 2022 and contraction in 2023.
“The LMI contracted at this time a year ago, so basically [there was] no peak season,” Rogers said, citing inflation as a drag on demand. “To have a normal November … [really] for the first time in five years, justifies what we’ve seen all these companies doing—building up inventory in a sustainable, seasonal way.
“Based on what we’re seeing, a lot of supply chains called it right and were ready for healthy holiday season, so far.”
The LMI has remained in the mid to high 50s range since January—with the exception of April, when the index dipped to 52.9—signaling strong and consistent demand for warehousing and transportation services.
The LMI is a monthly survey of logistics managers from across the country. It tracks industry growth overall and across eight areas: inventory levels and costs; warehousing capacity, utilization, and prices; and transportation capacity, utilization, and prices. The report is released monthly by researchers from Arizona State University, Colorado State University, Rochester Institute of Technology, Rutgers University, and the University of Nevada, Reno, in conjunction with the Council of Supply Chain Management Professionals (CSCMP).
Specifically, 48% of respondents identified rising tariffs and trade barriers as their top concern, followed by supply chain disruptions at 45% and geopolitical instability at 41%. Moreover, tariffs and trade barriers ranked as the priority issue regardless of company size, as respondents at companies with less than 250 employees, 251-500, 501-1,000, 1,001-50,000 and 50,000+ employees all cited it as the most significant issue they are currently facing.
“Evolving tariffs and trade policies are one of a number of complex issues requiring organizations to build more resilience into their supply chains through compliance, technology and strategic planning,” Jackson Wood, Director, Industry Strategy at Descartes, said in a release. “With the potential for the incoming U.S. administration to impose new and additional tariffs on a wide variety of goods and countries of origin, U.S. importers may need to significantly re-engineer their sourcing strategies to mitigate potentially higher costs.”
Grocers and retailers are struggling to get their systems back online just before the winter holiday peak, following a software hack that hit the supply chain software provider Blue Yonder this week.
The ransomware attack is snarling inventory distribution patterns because of its impact on systems such as the employee scheduling system for coffee stalwart Starbucks, according to a published report. Scottsdale, Arizona-based Blue Yonder provides a wide range of supply chain software, including warehouse management system (WMS), transportation management system (TMS), order management and commerce, network and control tower, returns management, and others.
Blue Yonder today acknowledged the disruptions, saying they were the result of a ransomware incident affecting its managed services hosted environment. The company has established a dedicated cybersecurity incident update webpage to communicate its recovery progress, but it had not been updated for nearly two days as of Tuesday afternoon. “Since learning of the incident, the Blue Yonder team has been working diligently together with external cybersecurity firms to make progress in their recovery process. We have implemented several defensive and forensic protocols,” a Blue Yonder spokesperson said in an email.
The timing of the attack suggests that hackers may have targeted Blue Yonder in a calculated attack based on the upcoming Thanksgiving break, since many U.S. organizations downsize their security staffing on holidays and weekends, according to a statement from Dan Lattimer, VP of Semperis, a New Jersey-based computer and network security firm.
“While details on the specifics of the Blue Yonder attack are scant, it is yet another reminder how damaging supply chain disruptions become when suppliers are taken offline. Kudos to Blue Yonder for dealing with this cyberattack head on but we still don’t know how far reaching the business disruptions will be in the UK, U.S. and other countries,” Lattimer said. “Now is time for organizations to fight back against threat actors. Deciding whether or not to pay a ransom is a personal decision that each company has to make, but paying emboldens threat actors and throws more fuel onto an already burning inferno. Simply, it doesn’t pay-to-pay,” he said.
The incident closely followed an unrelated cybersecurity issue at the grocery giant Ahold Delhaize, which has been recovering from impacts to the Stop & Shop chain that it across the U.S. Northeast region. In a statement apologizing to customers for the inconvenience of the cybersecurity issue, Netherlands-based Ahold Delhaize said its top priority is the security of its customers, associates and partners, and that the company’s internal IT security staff was working with external cybersecurity experts and law enforcement to speed recovery. “Our teams are taking steps to assess and mitigate the issue. This includes taking some systems offline to help protect them. This issue and subsequent mitigating actions have affected certain Ahold Delhaize USA brands and services including a number of pharmacies and certain e-commerce operations,” the company said.
Editor's note:This article was revised on November 27 to indicate that the cybersecurity issue at Ahold Delhaize was unrelated to the Blue Yonder hack.
The new funding brings Amazon's total investment in Anthropic to $8 billion, while maintaining the e-commerce giant’s position as a minority investor, according to Anthropic. The partnership was launched in 2023, when Amazon invested its first $4 billion round in the firm.
Anthropic’s “Claude” family of AI assistant models is available on AWS’s Amazon Bedrock, which is a cloud-based managed service that lets companies build specialized generative AI applications by choosing from an array of foundation models (FMs) developed by AI providers like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself.
According to Amazon, tens of thousands of customers, from startups to enterprises and government institutions, are currently running their generative AI workloads using Anthropic’s models in the AWS cloud. Those GenAI tools are powering tasks such as customer service chatbots, coding assistants, translation applications, drug discovery, engineering design, and complex business processes.
"The response from AWS customers who are developing generative AI applications powered by Anthropic in Amazon Bedrock has been remarkable," Matt Garman, AWS CEO, said in a release. "By continuing to deploy Anthropic models in Amazon Bedrock and collaborating with Anthropic on the development of our custom Trainium chips, we’ll keep pushing the boundaries of what customers can achieve with generative AI technologies. We’ve been impressed by Anthropic’s pace of innovation and commitment to responsible development of generative AI, and look forward to deepening our collaboration."